Triple
T10040150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Slang |
E205273
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ted Hutt |
E838150
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ted Hutt | Statement: [American Slang, producer, Ted Hutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Hutt Context triple: [American Slang, producer, Ted Hutt]
-
A.
Ted Hutt
chosen
Ted Hutt is a Grammy-winning British record producer and musician known for his work with punk, rock, and alternative bands such as The Gaslight Anthem, Flogging Molly, and Dropkick Murphys.
-
B.
Al Sutton
Al Sutton is a music producer and engineer known for his work with rock bands such as Kid Rock and the Detroit Cobras.
-
C.
Terry Coombs
Terry Coombs is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the mysterious global phenomenon that causes women to fall into an otherworldly sleep.
-
D.
Johnny Pate
Johnny Pate is an American jazz bassist, arranger, and record producer best known for his influential work in soul and R&B during the 1960s.
-
E.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee186708190bc9fecd637b4f7e6 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b60e988c8190839a088e65b15d07 |
completed | April 5, 2026, 7:20 p.m. |
Created at: March 30, 2026, 8:55 p.m.